Information Systems Tracks > Track 35: Teaching and Learning Technologies

Track Chair:

• Dr. Lamiae Benhayoun, Rabat Business School, UIR, Morocco

The Advances in Teaching and Learning Technologies track encourages research contributions that deal with learning theories, teaching tools and their development, supporting infrastructures, user experiences and feedback, learning analytics, and measurable outcomes that contribute to teaching and learning improvement. The current increasing demand for hybrid learning, online learning models, and learning in extended realities (VR/AR/MR) have challenged the design, development, and implementation of effective teaching and learning technologies. Furthermore, the recent progress in Artificial Intelligence (AI) and other advanced technologies has shown the potential to disruptively transform learning and teaching in several ways such as providing personalized and adaptive learning experiences, automating certain tasks, and enabling new forms of instruction and assessment.

For instance, the release of the ChatGPT language model, a highly advanced generative AI technology, has raised concerns about academic integrity, reduced critical thinking skills, the possibility of replacing human teachers, and its other potential impacts on teaching and learning. By combining the capabilities of AI and human intelligence, hybrid intelligence has the potential to overcome some of the threats associated with the use of AI. Nevertheless, this approach requires research and development of new pedagogy and methodologies to guarantee the best use of such systems.

We seek to bridge disciplines and research communities between system sciences, AI, computer, and learning sciences. A broad range of research questions, learning settings, and theoretical and methodological traditions will be considered. We are flexible about what constitutes ‘learning’ (e.g., acquisition or co-creation of knowledge or skills, community learning, collective change) and about the nature of the setting (e.g., face-to-face, or online; formal or informal; educational, workplace or leisure). Papers make a theoretical and/ or empirical contribution by investigating such learning settings that mobilize diverse technological media and artificial intelligence.